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16 December 2022 Robust model predictive control strategy based on low switching frequency of three-level inverter
Xiaoyue Liu, Ruisen Zhao
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Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125006D (2022) https://doi.org/10.1117/12.2660916
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China
Abstract
In order to reduce the switching frequency of T-type three-level inverter in the application of model predictive control while enhancing parameter robustness, a novel robust predictive control strategy with low switching frequency is proposed. The impact of parameter mismatch on the predictive control is analyzed. On this basis, the event trigger mechanism is designed according to the state error to screen redundant switching actions and reduce predictive calculations Besides, extended state observer is established to estimate the lumped disturbance in combination with two-step prediction. In this way, the suppression of current harmonics can be achieved. In addition, the adjusting range of control parameters is designed according to the influence of control parameters on control effect. Comparative experiments demonstrate that the algorithm can effectively reduce the computational burden and switching frequency while enhancing the robust performance.
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Xiaoyue Liu and Ruisen Zhao "Robust model predictive control strategy based on low switching frequency of three-level inverter", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125006D (16 December 2022); https://doi.org/10.1117/12.2660916
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KEYWORDS
Switching
Control systems
Inductance
Error analysis
Switches
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